Optimization Modeler

Conduct exploratory data analysis (EDA) on clinical and preclinical datasets to inform model structure and assumptions. Develop and validate nonlinear mixed-effects models in R for pharmacokinetic/pharmacodynamic (PK/PD) simulations. Apply predictive analytics to forecast drug behavior under clinical conditions and support regulatory decisions. Use statistical methods such as regression and survival analysis to evaluate exposure-response relationships. Design and implement optimization models using linear programming, dynamic programming, and stochastic methods to improve clinical resource planning. Collaborate with cross-functional teams to integrate modeling into broader development strategies. Generate visualizations and technical reports using R and Tableau, and manage data preparation pipelines using Python and SQL.

Requirements: Master’s degree (or foreign equivalent) in Operations Research, Industrial Engineering, Applied Mathematics, or a closely related field.

Contact person: Elizabeth LeBeau/HR Specialist, A2-AI LLC, 2723 S. State Street, Suite 310, Ann Arbor, MI 48104